Cooperative System with UAV and UGV for Disaster Area Exploration

Takaya Hakukawa, K. Uchiyama, Kai Masuda
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引用次数: 1

Abstract

Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) are expected to be widely active in exploring disaster area. However, each unmanned vehicle has problems such as short flight time or poor efficiency of the exploration. As a solution of these problems, a cooperative system between these vehicles is useful by compensating disadvantages each other. In this paper, we propose the cooperation system using quadrotor UAVs and a UGV. In the system, the potential function method that can flexibly cope with a change of environment without computational complexity is used to avoid obstacles and reach the desired position. UAVs transmit data of obstacles to a UGV so as to explore a disaster area efficiently. Super-twisting sliding mode observer (STSMO) is treated for estimating velocities of the vehicles to avoid deterioration of control performance. The validity of the proposed control system is verified through numerical simulations.
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无人机与UGV协同灾区探测系统
无人驾驶飞行器(UAV)和无人地面飞行器(UGV)有望在灾区探测中广泛活跃。然而,每一种无人飞行器都存在飞行时间短、探测效率低等问题。作为这些问题的解决方案,这些车辆之间的合作系统是有用的,通过补偿彼此的缺点。在本文中,我们提出了四旋翼无人机和UGV的协同系统。在系统中,采用了能够灵活应对环境变化而不需要计算复杂度的势函数方法来避开障碍物并到达期望位置。无人机将障碍物的数据传输给UGV,以实现对灾区的高效探测。利用超扭转滑模观测器(STSMO)估计车辆的速度,避免了控制性能的恶化。通过数值仿真验证了所提控制系统的有效性。
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